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Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers.


ABSTRACT: In a companion paper by Cohen-Adad et al. we introduce the spine generic quantitative MRI protocol that provides valuable metrics for assessing spinal cord macrostructural and microstructural integrity. This protocol was used to acquire a single subject dataset across 19 centers and a multi-subject dataset across 42 centers (for a total of 260 participants), spanning the three main MRI manufacturers: GE, Philips and Siemens. Both datasets are publicly available via git-annex. Data were analysed using the Spinal Cord Toolbox to produce normative values as well as inter/intra-site and inter/intra-manufacturer statistics. Reproducibility for the spine generic protocol was high across sites and manufacturers, with an average inter-site coefficient of variation of less than 5% for all the metrics. Full documentation and results can be found at https://spine-generic.rtfd.io/ . The datasets and analysis pipeline will help pave the way towards accessible and reproducible quantitative MRI in the spinal cord.

SUBMITTER: Cohen-Adad J 

PROVIDER: S-EPMC8368310 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

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Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers.

Cohen-Adad Julien J   Alonso-Ortiz Eva E   Abramovic Mihael M   Arneitz Carina C   Atcheson Nicole N   Barlow Laura L   Barry Robert L RL   Barth Markus M   Battiston Marco M   Büchel Christian C   Budde Matthew M   Callot Virginie V   Combes Anna J E AJE   De Leener Benjamin B   Descoteaux Maxime M   de Sousa Paulo Loureiro PL   Dostál Marek M   Doyon Julien J   Dvorak Adam A   Eippert Falk F   Epperson Karla R KR   Epperson Kevin S KS   Freund Patrick P   Finsterbusch Jürgen J   Foias Alexandru A   Fratini Michela M   Fukunaga Issei I   Gandini Wheeler-Kingshott Claudia A M CAM   Germani Giancarlo G   Gilbert Guillaume G   Giove Federico F   Gros Charley C   Grussu Francesco F   Hagiwara Akifumi A   Henry Pierre-Gilles PG   Horák Tomáš T   Hori Masaaki M   Joers James J   Kamiya Kouhei K   Karbasforoushan Haleh H   Keřkovský Miloš M   Khatibi Ali A   Kim Joo-Won JW   Kinany Nawal N   Kitzler Hagen H HH   Kolind Shannon S   Kong Yazhuo Y   Kudlička Petr P   Kuntke Paul P   Kurniawan Nyoman D ND   Kusmia Slawomir S   Labounek René R   Laganà Maria Marcella MM   Laule Cornelia C   Law Christine S CS   Lenglet Christophe C   Leutritz Tobias T   Liu Yaou Y   Llufriu Sara S   Mackey Sean S   Martinez-Heras Eloy E   Mattera Loan L   Nestrasil Igor I   O'Grady Kristin P KP   Papinutto Nico N   Papp Daniel D   Pareto Deborah D   Parrish Todd B TB   Pichiecchio Anna A   Prados Ferran F   Rovira Àlex À   Ruitenberg Marc J MJ   Samson Rebecca S RS   Savini Giovanni G   Seif Maryam M   Seifert Alan C AC   Smith Alex K AK   Smith Seth A SA   Smith Zachary A ZA   Solana Elisabeth E   Suzuki Y Y   Tackley George G   Tinnermann Alexandra A   Valošek Jan J   Van De Ville Dimitri D   Yiannakas Marios C MC   Weber Ii Kenneth A KA   Weiskopf Nikolaus N   Wise Richard G RG   Wyss Patrik O PO   Xu Junqian J  

Scientific data 20210816 1


In a companion paper by Cohen-Adad et al. we introduce the spine generic quantitative MRI protocol that provides valuable metrics for assessing spinal cord macrostructural and microstructural integrity. This protocol was used to acquire a single subject dataset across 19 centers and a multi-subject dataset across 42 centers (for a total of 260 participants), spanning the three main MRI manufacturers: GE, Philips and Siemens. Both datasets are publicly available via git-annex. Data were analysed  ...[more]

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